Automatic Construction of Networks of Concepts Characterizing Document Databases

Persistent Link:
http://hdl.handle.net/10150/105175
Title:
Automatic Construction of Networks of Concepts Characterizing Document Databases
Author:
Chen, Hsinchun; Lynch, K.J.
Citation:
Automatic Construction of Networks of Concepts Characterizing Document Databases 1992, 22(5):885-902 IEEE Transactional on Systems, Man, and Cybermetics
Publisher:
IEEE
Journal:
IEEE Transactional on Systems, Man, and Cybermetics
Issue Date:
1992
Description:
Artificial Intelligence Lab, Department of MIS, University of Arizona
URI:
http://hdl.handle.net/10150/105175
Submitted date:
2004-10-01
Abstract:
The results of a study that involved the creation of knowledge bases of concepts from large, operational textual databases are reported. Two East-bloc computing knowledge bases, both based on a semantic network structure, were created automatically using two statistical algorithms. With the help of four East-bloc computing experts, we evaluated the two knowledge bases in detail in a concept-association experiment based on recall and recognition tests. In the experiment, one of the knowledge bases that exhibited the asymmetric link property out-performed all four experts in recalling relevant concepts in East-bloc computing. The knowledge base, which contained about 20,O00 concepts (nodes) and 280,O00 weighted relationships (links), was incorporated as a thesaurus-like component into an intelligent retrieval system. The system allowed users to perform semantics-based information management and information retrieval via interactive, conceptual relevance feedback.
Type:
Journal Article (Paginated)
Language:
en
Keywords:
Databases; Artificial Intelligence
Local subject classification:
National Science Digital Library; NSDL; Artificial intelligence lab; AI lab; Information retrieval

Full metadata record

DC FieldValue Language
dc.contributor.authorChen, Hsinchunen_US
dc.contributor.authorLynch, K.J.en_US
dc.date.accessioned2004-10-01T00:00:01Z-
dc.date.available2010-06-18T23:20:36Z-
dc.date.issued1992en_US
dc.date.submitted2004-10-01en_US
dc.identifier.citationAutomatic Construction of Networks of Concepts Characterizing Document Databases 1992, 22(5):885-902 IEEE Transactional on Systems, Man, and Cybermeticsen_US
dc.identifier.urihttp://hdl.handle.net/10150/105175-
dc.descriptionArtificial Intelligence Lab, Department of MIS, University of Arizonaen_US
dc.description.abstractThe results of a study that involved the creation of knowledge bases of concepts from large, operational textual databases are reported. Two East-bloc computing knowledge bases, both based on a semantic network structure, were created automatically using two statistical algorithms. With the help of four East-bloc computing experts, we evaluated the two knowledge bases in detail in a concept-association experiment based on recall and recognition tests. In the experiment, one of the knowledge bases that exhibited the asymmetric link property out-performed all four experts in recalling relevant concepts in East-bloc computing. The knowledge base, which contained about 20,O00 concepts (nodes) and 280,O00 weighted relationships (links), was incorporated as a thesaurus-like component into an intelligent retrieval system. The system allowed users to perform semantics-based information management and information retrieval via interactive, conceptual relevance feedback.en_US
dc.format.mimetypeapplication/pdfen_US
dc.language.isoenen_US
dc.publisherIEEEen_US
dc.subjectDatabasesen_US
dc.subjectArtificial Intelligenceen_US
dc.subject.otherNational Science Digital Libraryen_US
dc.subject.otherNSDLen_US
dc.subject.otherArtificial intelligence laben_US
dc.subject.otherAI laben_US
dc.subject.otherInformation retrievalen_US
dc.titleAutomatic Construction of Networks of Concepts Characterizing Document Databasesen_US
dc.typeJournal Article (Paginated)en_US
dc.identifier.journalIEEE Transactional on Systems, Man, and Cybermeticsen_US
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